Open AccessMining Sequential Pattern of Data in Textual Document Using Data Mining Classification Technique
Author(s) -
J S Jayasudha,
A. Christina Esther
Publication year - 2019
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2019.8.s1.1961
Subject(s) - computer science , sequential pattern mining , the internet , data mining , task (project management) , matching (statistics) , information retrieval , world wide web , engineering , statistics , mathematics , systems engineering
Text document were transmitted over the internet for the text communication. So they were occurred many problems like repeated text occurred because of same data were provided in the internet. To characterize and extracting that is a most critical task for the researchers. Many researchers were characterized and applied in many fields like real-life scenarios, such as real-time monitoring on abnormal user behaviors, etc. In this case to detect and characterize the personalized behavior of the user were provide some drawbacks. To solve this problem, this paper analyzing the sequential data and characterize the user behavior with the help of the data mining sequential pattern matching algorithm.